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Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges

Item

Title
Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges
Abstract/Description
To address the goal of increasing and broadening participation of youth in STEM fields, a learning ecosystem approach is a promising strategy. Learning analytics can play an important role in such efforts which aim to build learning supports across the diverse spaces in which learning and development occurs, including informal, formal, and online contexts. This paper introduces a city-level learning analytics implementation effort in a developing STEM ecosystem in one mid-sized city. We describe aspects of our design and research approach and challenges that emerge by taking a learning ecosystem perspective of learning and development.
Date
2019
In publication
Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale
Series
L@S '19
Pages
1–4
Publisher
Association for Computing Machinery
Resource type
en
Resource status/form
en
Scholarship genre
en
IRE Approach/Concept
Learning Analytics
Open access/full-text available
en Yes
Peer reviewed
en Yes
ISBN
978-1-4503-6804-9
Citation
Nacu, D., Upadhyay, P., Skorepa, E., Everette, T., Flores, E., Jackson, M., & Pinkard, N. (2019). Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges. Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale, 1–4. https://doi.org/10.1145/3330430.3333651
Place
New York, NY, USA

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